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Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems

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dc.contributor.author Heshmat Dehkordi, Yasamin
dc.date.accessioned 2014-08-26T17:28:11Z
dc.date.available 2014-08-26T17:28:11Z
dc.date.copyright 2014 en_US
dc.date.issued 2014-08-26
dc.identifier.uri http://hdl.handle.net/1828/5605
dc.description.abstract Recommendation systems have become extremely common in recent years due to the ubiquity of information across various applications. Online entertainment (e.g., Netflix), E-commerce (e.g., Amazon, Ebay) and publishing services such as Google News are all examples of services which use recommender systems. Recommendation systems are rapidly evolving in these years, but these methods have fallen short in coping with several emerging trends such as likes or votes on reviews. In this work we have proposed a new method based on collaborative filtering by considering other users' feedback on each review. To validate our approach we have used Yelp data set with more than 335,000 product and service category ratings and 70,817 real users. We present our results using comparative analysis with other well-known recommendation systems for particular categories of users and items. en_US
dc.language English eng
dc.language.iso en en_US
dc.rights.uri http://creativecommons.org/licenses/by/2.5/ca/ *
dc.subject recommender systems en_US
dc.subject collaborative filtering en_US
dc.subject performance metrics en_US
dc.subject Yelp data set en_US
dc.title Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems en_US
dc.type Thesis en_US
dc.contributor.supervisor Ganti, Sudhakar
dc.contributor.supervisor Thomo, Alex
dc.degree.department Department of Computer Science en_US
dc.degree.level Master of Science M.Sc. en_US
dc.rights.temp Available to the World Wide Web en_US
dc.description.scholarlevel Graduate en_US
dc.description.proquestcode 0984 en_US
dc.description.proquestcode 0800 en_US


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http://creativecommons.org/licenses/by/2.5/ca/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/2.5/ca/

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